Research priorities in regional anaesthesia education and training: an international Delphi consensus survey
Bibliographic record
Abstract
OBJECTIVES: Education in regional anaesthesia covers several complex and diverse areas, from theoretical aspects to procedural skills, professional behaviours, simulation, curriculum design and assessment. The objectives of this study were to summarise these topics and to prioritise these topics in order of research importance. DESIGN: Electronic structured Delphi questionnaire over three rounds. SETTING: International. PARTICIPANTS: 38 experts in regional anaesthesia education and training, identified through the American Society of Regional Anesthesia Education Special Interest Group research collaboration. RESULTS: 82 topics were identified and ranked in order of prioritisation. Topics were categorised into themes of simulation, curriculum, knowledge translation, assessment of skills, research methodology, equipment and motor skills. Thirteen topics were ranked as essential research priority, with four topics each on simulation and curriculum, three topics on knowledge translation, and one topic each on methodology and assessment. CONCLUSIONS: Researchers and educators can use these identified topics to assist in planning and structuring their research and training in regional anaesthesia education.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.124 | 0.099 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".